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Nadiya Shvai
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2020 – today
- 2024
- [j4]Fekhr Eddine Keddous, Arcadi Llanza, Nadiya Shvai
, Amir Nakib
Vision transformers inference acceleration based on adaptive layer normalization. Neurocomputing 610: 128524 (2024) - [c18]Arcadi Llanza
Black-Box Optimization Based Adaptive Image Anonymization. CEC 2024: 1-8 - [c17]Mariia Shpir, Nadiya Shvai
License Plate Images Generation with Diffusion Models. ECAI 2024: 4594-4601 - [c16]Arcadi Llanza
Evolutionary Algorithm Based Adaptive Image Anonymization. GECCO Companion 2024: 683-686 - [i4]Dmytro Kuzmenko, Nadiya Shvai:
Balancing Performance and Efficiency in Zero-shot Robotic Navigation. CoRR abs/2406.03015 (2024) - [i3]Mykhailo Poliakov, Nadiya Shvai:
Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata. CoRR abs/2406.13213 (2024) - 2023
- [j3]Léo Souquet
Convolutional neural network architecture search based on fractal decomposition optimization algorithm. Expert Syst. Appl. 213(Part C): 118947 (2023) - [c15]Arcadi Llanza
Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. CEC 2023: 1-9 - [c14]Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib:
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. ICCV 2023: 5051-5060 - [c13]Fekhr Eddine Keddous, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
Inference Acceleration of Deep Learning Classifiers Based on RNN. ICIP 2023: 2450-2454 - [c12]Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib:
Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization. SMC 2023: 5084-5089 - 2022
- [c11]Arcadi Llanza
Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems. MIC 2022: 215-229 - [c10]Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Amir Nakib:
DEvS: data distillation algorithm based on evolution strategy. GECCO Companion 2022: 292-295 - [i2]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm. CoRR abs/2209.11695 (2022) - [i1]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems. CoRR abs/2210.15489 (2022) - 2021
- [c9]Abul Hasnat, Nadiya Shvai
CNN Classifier's Robustness Enhancement when Preserving Privacy. ICIP 2021: 3887-3891 - 2020
- [j2]Nadiya Shvai
Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers. IEEE Trans. Intell. Transp. Syst. 21(3): 1288-1297 (2020) - [c8]Léo Souquet, Nadiya Shvai
Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. CEC 2020: 1-6 - [c7]Léo Souquet, Nadiya Shvai
HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. GECCO Companion 2020: 155-156 - [c6]Antoine Meicler
Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint. ICIAR (1) 2020: 95-106
2010 – 2019
- 2019
- [c5]Abul Hasnat, Nadiya Shvai
Application Guided Image Quality Estimation Based on Classification. ICIP 2019: 549-553 - [c4]Marouan Khata, Nadiya Shvai
Novel Context-aware Classification for Highly Accurate Automatic Toll Collection. IV 2019: 1105-1110 - 2018
- [c3]Nadiya Shvai
Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition. CEC 2018: 1-8 - [c2]Abul Hasnat, Nadiya Shvai
New Vehicle Classification Method Based on Hybrid Classifiers. ICIP 2018: 3084-3088 - 2017
- [j1]Amir Nakib
Deterministic metaheuristic based on fractal decomposition for large-scale optimization. Appl. Soft Comput. 61: 468-485 (2017) - [c1]Galyna Kriukova
Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention. IDAACS 2017: 634-638
Coauthor Index
aka: Arcadi Llanza Carmona
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last updated on 2024-11-07 20:29 CET by the dblp team
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